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Yige Li
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2020 – today
- 2024
- [c6]Wei Zhao, Zhe Li, Yige Li, Ye Zhang, Jun Sun:
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing. EMNLP (Findings) 2024: 5094-5109 - [i12]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey:
End-to-End Anti-Backdoor Learning on Images and Time Series. CoRR abs/2401.03215 (2024) - [i11]Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang:
Multi-Trigger Backdoor Attacks: More Triggers, More Threats. CoRR abs/2401.15295 (2024) - [i10]Wei Zhao, Zhe Li, Yige Li, Ye Zhang, Jun Sun:
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing. CoRR abs/2405.18166 (2024) - [i9]Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun:
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models. CoRR abs/2408.12798 (2024) - [i8]Zhe Li, Wei Zhao, Yige Li, Jun Sun:
Do Influence Functions Work on Large Language Models? CoRR abs/2409.19998 (2024) - [i7]Wei Zhao, Zhe Li, Yige Li, Jun Sun:
Adversarial Suffixes May Be Features Too! CoRR abs/2410.00451 (2024) - [i6]Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Jitao Sang, Dit-Yan Yeung:
AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. CoRR abs/2410.05346 (2024) - [i5]Yige Li, Hanxun Huang, Jiaming Zhang, Xingjun Ma, Yu-Gang Jiang:
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models. CoRR abs/2410.19427 (2024) - [i4]Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang:
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. CoRR abs/2410.20971 (2024) - 2023
- [j4]Xiaodan Zhang, Yige Li, Jinxiang Du, Rui Zhao, Kemeng Xu, Lu Zhang, Yichong She:
Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition. Sensors 23(3): 1622 (2023) - [c5]Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang:
Reconstructive Neuron Pruning for Backdoor Defense. ICML 2023: 19837-19854 - [c4]Yige Li, Han Yang:
Lightweight Video Frame Interpolation Based on Bidirectional Attention Module. ISCC 2023: 989-994 - [i3]Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang:
Reconstructive Neuron Pruning for Backdoor Defense. CoRR abs/2305.14876 (2023) - 2022
- [j3]Tong Wang, Haiqun Xing, Yige Li, Sicong Wang, Ling Liu, Fang Li, Hongli Jing:
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT. BMC Medical Imaging 22(1): 99 (2022) - [j2]Tingting Ji, Wenjun Zheng, Jingjun Yang, Dongli Zhang, Shumin Liang, Yige Li, Ting Liu, Haoyu Zhou, Changhuan Feng:
Tectonic Significances of the Geomorphic Evolution in the Southern Alashan Block to the Outward Expansion of the Northeastern Tibetan Plateau. Remote. Sens. 14(24): 6269 (2022) - [j1]Jingyao Wang, Yige Li, Zhisheng Duan, Jianping Zeng:
A Fully Distributed Robust Secure Consensus Protocol for Linear Multi-Agent Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3264-3268 (2022) - 2021
- [c3]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. ICLR 2021 - [c2]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. NeurIPS 2021: 14900-14912 - [i2]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. CoRR abs/2101.05930 (2021) - [i1]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. CoRR abs/2110.11571 (2021)
2000 – 2009
- 2006
- [c1]Yige Li, Kanglin Xie, Tao Hao:
Combining Couvreur's Algorithm with Bitstate-Hashing for Emptiness Check. IMSCCS (2) 2006: 283-286
Coauthor Index
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